Morpheme glossing is a critical task in automated language documentation and can benefit
other downstream applications greatly. While state-of-the-art glossing systems perform very …

Generalization is of particular importance in resource-constrained settings, where the
available training data may represent only a small fraction of the distribution of possible …

Large Language Models (LLMs) have become capable of generating highly fluent text in
certain languages, without modules specially designed to capture grammar or semantic …

The Fon language, spoken by an average 2 million of people, is a truly low-resourced
African language, with a limited online presence, and existing datasets (just to name but a …

Pre-trained language models have revolutionized the natural language understanding
landscape, most notably BERT (Bidirectional Encoder Representations from Transformers) …

Language documentation is a critical aspect of language preservation, often including the
creation of Interlinear Glossed Text (IGT). Creating IGT is time-consuming and tedious, and …

Recently, many Deep Learning fuzzers have been proposed for testing of DL libraries.
However, they either perform unguided input generation (eg, not considering the …

The complex Ancient Egyptian (AE) writing system was characterised by widespread use of
graphemic classifiers (determinatives): silent (unpronounced) hieroglyphic signs clarifying …

Abstract Language technology development is crucial for many downstream applications
such as machine translation and language understanding. The lack of linguistic resources …

Since the publication of BERT in 2018, pretrained Transformer language models (TLMs)
have been a foundational requirement for almost all natural language processing systems …